Evidence map›Paper›PMID 36175678›Full record

ArticleNature medicine2022

Screening for idiopathic pulmonary fibrosis using comorbidity signatures in electronic health records.

Dmytro Onishchenko, Robert J Marlowe, Che G Ngufor, Louis J Faust, Andrew H Limper, Gary M Hunninghake, Fernando J Martinez, Ishanu Chattopadhyay

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. S100A4 Orchestrates Fibroblast Fate to Drive Fibrotic Remodeling.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Article
  4. GEN-KnowRD: Reframing AI for Rare Disease Recognition.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Diagnosis of Lung Diseases in the Artificial Intelligence Era.International journal of molecular sciences · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Advances in idiopathic pulmonary fibrosis diagnosis and treatment.Chinese medical journal pulmonary and critical care medicine · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Approach to Clinical Trials for the Prevention of Pulmonary Fibrosis.Annals of the American Thoracic Society · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dmytro OnishchenkoDepartment of Medicine, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-7602-7232
Robert J MarloweSpencer-Fontayne Corporation, Jersey City, NJ, USA.ORCID http://orcid.org/0000-0002-0943-2294
Che G NguforMayo Clinic College of Medicine and Science, Rochester, MN, USA.
Louis J FaustMayo Clinic College of Medicine and Science, Rochester, MN, USA.
Andrew H LimperMayo Clinic College of Medicine and Science, Rochester, MN, USA.
Gary M HunninghakeDirector, Interstitial Lung Disease Program, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Fernando J MartinezBruce Webster Professor of Internal Medicine, Medicine, Weill Cornell Medical College, New York, NY, USA.
Ishanu ChattopadhyayDepartment of Medicine, University of Chicago, Chicago, IL, USA. ishanu@uchicago.edu.ORCID http://orcid.org/0000-0001-8339-8162

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
NCATS NIH HHS UL1 TR000430
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a lethal fibrosing interstitial lung disease with a mean survival time of less than 5 years. Nonspecific presentation, a lack of effective early screening tools, unclear pathobiology of early-stage IPF and the need for invasive and expensive procedures for diagnostic confirmation hinder early diagnosis. In this study, we introduce a new screening tool for IPF in primary care settings that requires no new laboratory tests and does not require recognition of early symptoms. Using subtle comorbidity signatures identified from the history of medical encounters of individuals, we developed an algorithm, called the zero-burden comorbidity risk score for IPF (ZCoR-IPF), to predict the future risk of an IPF diagnosis. ZCoR-IPF was trained on a national insurance claims database and validated on three independent databases, comprising a total of 2,983,215 participants, with 54,247 positive cases. The algorithm achieved positive likelihood ratios greater than 30 at a specificity of 0.99 across different cohorts, for both sexes, and for participants with different risk states and history of confounding diseases. The area under the receiver-operating characteristic curve for ZCoR-IPF in predicting IPF exceeded 0.88 and was approximately 0.84 at 1 and 4 years before a conventional diagnosis, respectively. Thus, if adopted, ZCoR-IPF can potentially enable earlier diagnosis of IPF and improve outcomes of disease-modifying therapies and other interventions.

Indexed as

Idiopathic Pulmonary FibrosisComorbidityElectronic Health RecordsFemaleHumansMaleRetrospective StudiesROC Curve

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.